The aim of this course is to provide students with an introduction to the subject of artificial intelligence, including the basic techniques and mechanisms of artificial intelligence. It is aimed that the students who complete this course will understand the historical and conceptual development of artificial intelligence, the aims of artificial intelligence and the methods it uses to achieve these goals, the social and economic role of artificial intelligence, and determine where artificial intelligence techniques can be used by analyzing the problems and using artificial intelligence techniques.
Prerequisite(s)
Student's interest in the lesson
Corequisite(s)
None.
Special Requisite(s)
None.
Instructor(s)
Assist. Prof. Dr. Didem Kayalıdereden
Course Assistant(s)
ARŞ. GÖR. ELANUR TÜRKÜZ
Schedule
The course will not be held this semester.
Office Hour(s)
Teaching Methods and Techniques
-Verbal Lecture, Discussion, Case Studies
Principle Sources
- Nilsson, N. J. (2009). The Quest for Artificial Intelligence: A History of Ideas and Achievement. Cambridge Press.
- Cukier, K. & Schönberger, V. (2013). Big Data: A Revolution That Will Transform How We Live, Work and Think.
- Ford, M. (2015). The Rise of The Robots. Oneworld Publication.
Other Sources
--- Case studies and lecture notes to be given by the lecturer are among the other resources
Course Schedules
Week
Contents
Learning Methods
1. Week
What is Artificial Intelligence (AI) ?
Lecture / Discussion
2. Week
The Difference Between Natural Intelligence and Artıficial Intelligence: The Human Brain
Lecture / Discussion
3. Week
The History of AI - I
Lecture / Discussion
4. Week
The History of AI - II
Lecture / Discussion
5. Week
Applications of Artificial Intelligence in Different Disciplines
Lecture / Discussion / Case Study
6. Week
The First Examples of Artificial Intelligence
Lecture / Discussion / Case Study
7. Week
Artificial Intelligence and E-Commerce Applications
Lecture / Discussion / Case Study
8. Week
MIDTERM
EXAM
9. Week
The Role of Artificial Intelligence in Social Sciences
Lecture / Discussion / Case Study
10. Week
The Contribution of Social Sciences to Artificial Intelligence
Lecture / Discussion / Case Study
11. Week
Artificial Intelligence and Application Examples
Lecture / Discussion / Case Study
12. Week
Artificial Intelligence Applications and Innovation
Lecture / Discussion / Case Study
13. Week
Programs Used in Artificial Intelligence Applications
Lecture / Discussion / Case Study
14. Week
FINAL EXAM
EXAM
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Homework / Term Projects / Presentations
1
10
Final Exam
1
60
Program Outcomes
PO-1
To define his/her competencies using the theoretical and practical knowledge he/she acquired in the field of Economics and to use these competencies in practice.
PO-2
To discuss concepts and ideas in the field of Economics with scientific methods, to develop hypotheses, to interpret and evaluate the data obtained.
PO-3
To develop solution suggestions for complex and/or unpredictable problems encountered in practice, to report and present these suggestions in accordance with the academic publication rules.
PO-4
To identify regional and global issues/problems, to perform analyses based on scientific data and research, and to develop solution suggestions.
PO-5
To determine the learning needs in the field of Economics, to evaluate the acquired knowledge and skills with a critical approach, and to use this knowledge and skills to develop economic policies.
PO-6
To inform relevant people and institutions on issues related to the field of Economics and to gain the ability to convey written and verbal solutions to problems.
PO-7
To convey his/her thoughts and suggestions in the field of Economics to experts and non-experts by supporting them with quantitative and qualitative data, to discuss and to contribute to the development of new policies by revising suggestions according to the feedback he/she receives.
PO-8
To benefit from other disciplines that form the basis of the field of Economics, to develop multidisciplinary approaches by associating these disciplines with his/her knowledge in the field of Economics, to produce project and publications.
PO-9
To define the differences and relationships between classical and modern theories of economics and to observe the distinctions between classical and modern economic policies and to evaluate the compatibility of these policies with economic and social issues.
PO-10
To read and comprehend foreing news sources about economics being fluent in a foreign language, to scan the economic literature and to follow the most current approaches in this field.
PO-11
To take into account scientific and ethical values in the stages of collecting, interpreting and announcing economic data and carrying out statistical/econometric studies using these data, and also to carry out the publication process in accordance with academic publishing principles.
Learning Outcomes
LO-1
Students will be able to define Artificial Intelligence, express the historical past and today's usage process.
LO-2
Students will be able to describe the usage areas of Artificial Intelligence in different discipline
LO-3
Students will be able to explain Artificial Intelligence Applications Applied in Social Sciences.
LO-4
Students will be able to comment on the analysis logic of Artificial Intelligence.
LO-5
Students will be able to have an idea about the programming languages required for Artificial Intelligence.
